Kayak Reviews Scraper

Overview

This actor scrapes hotel reviews and ratings from Kayak.com, including reviews aggregated from partner sites like Booking.com, Priceline, Agoda, and HotelsCombined. It outputs structured data (JSON/CSV/Excel) suitable for market research, sentiment analysis, competitor benchmarking, or feeding into BI tools and dashboards.

Key Features

• Extracts reviews from any Kayak hotel page URL.
• Captures data points: rating score, category (e.g., "Excellent"), date, unique ID, review source (provider), positive/negative comments, and full metadata.
• Handles pagination and dynamic content.
• Allows sorting by most recent, highest/lowest rated, or oldest.
• Supports limiting total reviews scraped (maxReviews).
• Enables incremental scraping via a cutoffDate to fetch only new reviews.
• Output is easily exportable.

How to Use

Provide a Kayak hotel URL and optional parameters via the actor's input. The actor will scrape the reviews and return them in a structured dataset.

Basic Input Example

{
  "hotelUrl": "https://www.kayak.com/Miami-Hotels-Miami-International-Airport-Hotel.61867.ksp",
  "sortBy": "recent",
  "maxReviews": 1000
}

Input Schema

• hotelUrl (string, required): The full desktop URL of the Kayak hotel page.
• sortBy (string, optional): Sorting method.
  • recent: Most recent (default).
  • scoreDesc: Highest rated.
  • scoreAsc: Lowest rated.
  • oldest: Oldest.
• maxReviews (integer, optional): Maximum number of reviews to return. Scrapes all available if not set.
• cutoffDate (string, optional): An ISO date (e.g., 2024-01-01). When set, the actor returns only reviews on or after this date and forces sorting to recent to ensure you capture all new reviews in chronological order.

Note on cutoffDate: If provided, the sortBy parameter is overridden and treated as recent. Scraping stops when reviews older than the cutoff date are encountered or when maxReviews is reached.

Output

The actor returns an array of review objects. Each record includes the following core fields:

{
  "id": "lDOSJZkB2qcuNaAeEJS-",
  "monthYear": "Sep 2025",
  "score": 80.0,
  "ratingCategory": "Excellent",
  "positiveComment": "Location",
  "negativeComment": "Restaurant is not part of the hotel",
  "siteName": "Booking.com"
}

The dataset is available in Apify's standard formats (JSON, CSV, Excel, etc.) for download or integration.